## How To Use CUBESET Function in Excel

This post will introduce the Excel CUBESET function, a powerful tool for working with multi-dimensional data stored in a cube. The CUBESET function allows you to define a set of members or tuples in a cube hierarchy, based on one or more sets of members.

This set can then be used in other cube functions, such as CUBEMEMBER and CUBEVALUE, to retrieve data associated with the members in the set.

The function is an essential component of the data analysis capabilities in Excel and is an important tool for performing complex data analysis tasks and retrieving valuable insights from your data.

The Excel CUBESET function is only available in Microsoft Excel versions that support PowerPivot and the OLAP data model. This includes Excel 2013 and later versions for Windows, and Excel 2016 and later versions for Mac. If you are using an earlier version of Excel, you will not be able to use the CUBESET function.

Additionally, the CUBESET function requires a connection to a cube data source, so if your data source is not connected or if you don’t have access to a cube data source, you won’t be able to use the function.

## How To Use CUBESET Function

The syntax for the Excel CUBESET function is:

`=CUBESET(connection, set_expression)`

Where:

• connection” is the name of the connection to the cube data source.
• set_expression” is a string that defines the set of members or tuples in the cube hierarchy.

The CUBESET function uses a set expression to define a set of members or tuples in the cube hierarchy. The set expression is a string that specifies the members you want to include in the set, based on one or more sets of members. The set expression can include multiple sets of members, each separated by a comma.

## The CUBESET function Example

Here is an example of how to use the CUBESET function in Excel:

Step 1: To use the CUBESET function, you must first connect to a cube data source. Let’s assume you have a cube data source named “ThisWorkbookDataModel” that contains sales data for different Month, products.

Step 2: Define the set expression: To create a set of all members in the “product” dimension, you can use the following set expression: “[Table1 2].[Product].[All]“.

Step 3: To use the CUBESET function, enter the following formula in a cell:

`=CUBESET("ThisWorkbookDataModel","[Table1 2].[Product].[All]","all product")`

This formula creates a set of all members in the “Product” dimension from the “ThisWorkbookDataModel” data source.

Step 4: To retrieve the total sales for the members in the set, you can use the following formula:

`=CUBEVALUE("ThisWorkbookDataModel","[Measures].[Sum of Sales]",CUBESET("ThisWorkbookDataModel","[Table1 2].[Product].[All]"))`

This formula retrieves the total sales for all members in the set, which are all members in the “product” dimension.

## When should you not use CUBESET in Excel?

There are several situations when you should not use the CUBESET function in Excel:

• No cube data source connection: If you do not have a connection to a cube data source, the CUBESET function will not work. The CUBESET function requires a connection to a cube data source in order to retrieve data.
• Non-MDX set expressions: The set expression used in the CUBESET function must be a valid MDX (Multidimensional Expressions) expression. If you use an invalid set expression, the CUBESET function will return an error.
• Inefficient set expressions: If you use an inefficient set expression in the CUBESET function, it can cause performance issues and slow down your workbook. It’s important to understand the structure of your cube data source and use an appropriate set expression to minimize performance issues.

## What are the formulas similar to CUBESET in Excel?

Here are some similar formula to CUBESET in Excel:

• CUBEKPIMEMBER: Returns the unique name of a Key Performance Indicator (KPI) in the cube hierarchy.
• CUBEMEMBERPROPERTY: Returns the value of a property for a specified member in the cube hierarchy.
• CUBERANKEDMEMBER: Returns the nth, or ranked, member in a set, based on a specified measure.
• CUBESETCOUNT: Returns the number of items in a set.
• CUBEVALUE: Returns a value from a cube, based on a specified set of members.

## Conclusion

The CUBESET function is a powerful tool for retrieving sets of data from a cube data source in Excel. The function allows you to retrieve data using a set expression, which provides a flexible and efficient way to retrieve data from a cube data source. However, the CUBESET function is not suitable for all situations and it is important to understand when to use and when not to use the function.

## How To Use CUBMEMBER Function in Excel

This post will introduce the Excel CUBEMEMBER function, which is used to return a member’s unique name in a cube hierarchy based on a specified set of member or tuple values.

The CUBEMEMBER function is an essential tool for retrieving data from multi-dimensional data sources, and it is widely used by data analysts, financial analysts, and business intelligence professionals.

In the following sections, we will delve into the syntax, usage, and examples of the CUBEMEMBER function to help you understand how it can be utilized to extract valuable insights from your data.

## How To Use CUBMEMBER Function

The syntax for the CUBEMEMBER function in Excel is as follows:

`=CUBEMEMBER(connection, member_name)`

Where:

• connection” is a string that specifies the connection to the cube.
• member_name” is the string expression that represents the unique name of the member or tuple in the cube hierarchy.

## The CUBMEMBER Function Example

Here is an example of using the CUBEMEMBER function in Excel:

Suppose you have a cube data source that contains sales data for a company. The cube has the following dimensions: “Month“, “Product“, “Category” and “Date“. You want to retrieve the sales data for the “Apple” product for the month of January.

Step 1: Connect to the cube data source as described in the previous answers.

Step 2: In a cell, enter the following formula to retrieve the unique name of the member in the “Product” dimension that represents the Apple product:

`=CUBEMEMBER("ThisWorkbookDataModel","[Table1 2].[Product].[Apple]")`

Step 3: In another cell, enter the following formula to retrieve the unique name of the member in the “Month” dimension that represents the month of January:

`=CUBEMEMBER("ThisWorkbookDataModel","[Table1 2].[Month].[Jan]")`

Step 4: In a third cell, enter the following formula to retrieve the sales data for the Apple Product in the month of January:

`=CUBEVALUE("ThisWorkbookDataModel",F1,F2,F3)`

In this example, the CUBEMEMBER function is used twice to retrieve the unique names of the members in the “Product” and “Month” dimensions that represent the Apple product and the month of January, respectively. The unique names are then combined to form a tuple, which is passed as the arguments to the CUBEVALUE function to retrieve the sales data for the Apple product in the month of January.

## When should you not use CUBEMEMBER in Excel?

You should not use the CUBEMEMBER function in Excel under the following circumstances:

• Non-cube data: The CUBEMEMBER function is designed to work specifically with cube data and is not applicable to other types of data sources. If your data is stored in a traditional spreadsheet or database, you should use other Excel functions or techniques to analyze your data.
• Non-connected data sources: The CUBEMEMBER function requires a connection to a cube data source, so if your data source is not connected or if you don’t have access to a cube data source, you won’t be able to use the function.
• Flat data structures: The CUBEMEMBER function is designed to work with multi-dimensional data stored in a cube, so if your data is stored in a flat data structure, such as a single spreadsheet or table, you won’t be able to use the function effectively.
• Performance considerations: The CUBEMEMBER function can be resource-intensive and can slow down your spreadsheet if you are working with large data sets. In some cases, it may be more efficient to use other Excel functions, such as SUMIFS or PivotTables, to analyze your data.

## What are the Formulas Similar to CUBEMEMBER in Excel?

Here are some similar formulas to CUBEMEMBER in Excel:

• CUBEKPIMEMBER: Returns the unique name of a Key Performance Indicator (KPI) in the cube hierarchy.
• CUBEMEMBERPROPERTY: Returns the value of a property for a specified member in the cube hierarchy.
• CUBERANKEDMEMBER: Returns the nth, or ranked, member in a set, based on a specified measure.
• CUBESET: Defines a set of members or tuples in a cube hierarchy, based on one or more sets of members.
• CUBESETCOUNT: Returns the number of items in a set.
• CUBEVALUE: Returns a value from a cube, based on a specified set of members.

## Conclusion

The CUBEMEMBER function in Excel is a valuable tool for working with multi-dimensional data stored in a cube. Whether you are working with sales data, financial data, or any other type of multi-dimensional data, the CUBEMEMBER function is an indispensable tool for analyzing and manipulating your data to gain valuable insights and make informed decisions.

## How To Use CUBEKPIMEMBER Function in Excel

This post will introduce the Excel CUBEKPIMEMBER function. The CUBEKPIMEMBER function in Excel is a powerful tool for working with Key Performance Indicator (KPI) data in OLAP cubes. This function allows you to retrieve information about a KPI in a cube, such as its status, value, and goal. Whether you are creating reports or performing data analysis, the CUBEKPIMEMBER function is an essential tool for working with KPI data in Excel.

## How To Use CUBEKPIMEMBER Function

The CUBEKPIMEMBER function in Excel is used to return a Key Performance Indicator (KPI) member in a cube based on its name. A KPI is a metric used to evaluate an organization’s success in achieving its goals.

The syntax for the CUBEKPIMEMBER function is as follows:

`=CUBEKPIMEMBER(connection, kpi_member_name)`

Where:

• connection is a required argument that specifies the connection to the cube data. The connection string should be entered as a text string in double quotes.
• kpi_member_name is a required argument that specifies the name of the KPI member to be returned. This argument should also be entered as a text string in double quotes.

## The CUBEKPIMEMBER Function Example

Let’s take a look at some examples to help illustrate how to use the CUBEKPIMEMBER function:

Suppose you have an OLAP cube named ” `ThisWorkbookDataModel`” that contains a KPI named ” `Sum of Sales 2`“.

To retrieve the KPI member for this KPI, you can use the following formula:

`=CUBEKPIMEMBER("ThisWorkbookDataModel","Sum of Sales 2",1,"TotalSalesValue")`

Before executing the above formula, you need to add the data from this table to the data source as the workbook data model and create a new KPI to add your data model.

This formula will return the KPI member for the ” `Sum of Sales 2`” KPI in the ” `ThisWorkbookDataModel `” data source.

You can use the CUBEVALUE function in Excel to get the corresponding KPI value, the formula is as below:

`=CUBEVALUE("ThisWorkbookDataModel","[Measures].[Sum of Sales 2]")`

Note:

• The CUBEKPIMEMBER function only works with OLAP cube data sources, so make sure that the data source you are using is indeed an OLAP cube and that the KPI you want to retrieve is defined in the cube.
• If the `connection `argument or the `kpi_member_name` argument is incorrect, or if the KPI member you want to retrieve is not defined in the cube, the CUBEKPIMEMBER function will return an error.
• The returned KPI member text string can be used in further calculations or displayed in a cell.
• The CUBEKPIMEMBER function is available in Excel 2013 and later versions.

## Conclusion

The CUBEKPIMEMBER function in Excel is a valuable tool for working with Key Performance Indicator (KPI) data in OLAP cubes. With its flexibility and functionality, the CUBEKPIMEMBER function can greatly simplify the process of working with KPI data in Excel. Whether you are a business analyst or a data professional, mastering the use of the CUBEKPIMEMBER function is an essential step in making the most of your OLAP cube data.